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DESIGN AND IMPLEMENTATION OF CT SCAN IMAGE ENHANCEMENT FOR TUMAR DETECTION
Authors
S. VASANTHIRIYA,N. KALIAMMAL,M. SABARINATHAN,M. SATHYAPRAKASH,K. PRADEEP
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Keywords
Functional Magnetic Resonance Imaging (fMRI) , Blood-Oxygen-Level Dependent (BOLD) Signal ,Convolutional Neural Network (CNN) , Statistical Region Merging (SRM) , Psychiatric Disorder Analysis
Abstract
Functional magnetic resonance imaging or functional MRI (fMRI) is a functional neuro imaging procedure using MRI technology that measures brain activity by detecting associated changes in blood flow, uses the Blood-oxygen-level dependent (BOLD) contrast. Current results from neuroscience suggest a modular organization of the brain. To understand the complex interaction patterns among brain regions. In proposed system uses CNN algorithm, an efficient algorithm for partitioning segmentation. A brain region is defined as a set of subjects sharing a similar interaction pattern among their brain regions. An extensive experimental evaluation on benchmark data demonstrates the effectiveness and efficiency of our approach. The results on two real fMRI studies demonstrate the potential of riemanian approach to contribute to a better understanding of normal brain function and the alternations characteristic for psychiatric disorders it means that Mental disorders are generally defined by a combination of how a person feels, acts, thinks or perceives. This may be associated with particular regions or functions of the brain or rest of the nervous system, often in a social context. This is not suitable for different regions of the time series. So we propose the statistical region merging algorithm, used for image segmentation. The algorithm is used to evaluate the values within a regional span and grouped together based on the merging criteria resulting a smaller list. So, we collect more number of information from that information we compare the result and already present in database result. So we analysis person is normal or abnormal or if the person affected by any disease or not.
IJCRT's Publication Details
Unique Identification Number - IJCRT2602236
Paper ID - 301415
Author type - Indian Author
Page Number(s) - c125-c130
Pubished in - Volume 14 | Issue 2 | February 2026
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No Of Downloads - 101
Author Country - India, 637408, Rasipuram, Rasipuram, 637408, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
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S. VASANTHIRIYA,N. KALIAMMAL,M. SABARINATHAN,M. SATHYAPRAKASH,K. PRADEEP, "DESIGN AND IMPLEMENTATION OF CT SCAN IMAGE ENHANCEMENT FOR TUMAR DETECTION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.14, Issue 2, pp.c125-c130, February 2026, Available at :http://www.ijcrt.org/papers/IJCRT2602236.pdf
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